Billing Rejection Specialist
- Hiring from
- India
- Work type
- Remote
- Posted
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Key Responsibilities
- Clearinghouse Monitoring: Daily review and management of clearinghouse portals to capture, sort, and action front-end rejections.
- Direct Payer Communication: Contact insurance companies directly via phone or web portals to investigate complex claim rejections, verify active patient eligibility, and check benefit coverage details.
- Root Cause Analysis: Investigate why claims were rejected by the clearinghouse or payer, distinguishing between demographic errors, missing insurance details, coding discrepancies, and provider credentialing mismatches.
- Claim Correction & Resubmission: Efficiently update and correct patient demographics, insurance policy numbers, CPT/ICD-10 codes, and modifiers within the practice management or EHR software before resubmitting.
- Cross-Functional Collaboration: Partner with internal staff and internal medical coders to address data capture errors and help prevent recurring rejections.
- Tracking & Reporting: Maintain accurate logs of rejected claims, common rejection trends, and resolution turnaround times, providing visibility to billing management.
Qualifications & Skills
- Experience: 1 to 3 years of professional experience in medical billing, revenue cycle operations, or high-volume healthcare administration.
- Technical Proficiency: Hands-on familiarity with major clearinghouses and electronic health record (EHR) / practice management software (e.g., Waystar, Cortex, Epic, Athenahealth, eClinicalWorks, NextGen).
- Data Accuracy: Exceptional attention to detail with strong alphanumeric data entry and verification skills.
- Industry Knowledge: Solid foundational understanding of medical terminology, health insurance structures (Medicare, Medicaid, Commercial), and CMS-1500 claim formats.
- Problem-Solving & Communication: Strong telephone etiquette and interpersonal communication skills for effective payer outreach, alongside analytical capability to diagnose billing errors independently.
- Shift Flexibility: Proven ability and commitment to reliably work the 6:00 PM to 3:00 AM IST night shift schedule.
Education & Credentials
- High school diploma or equivalent required; Associate's degree or general background in healthcare administration or medical billing preferred.
Shift: Night Shift (6:00 PM – 3:00 AM IST)-Remote India
Abous Us
At Harris, we believe great people build great software. We offer an environment where employees are empowered to make a real impact, grow their skills, and shape their careers. Our teams enjoy a supportive, award‑winning culture, a casual and collaborative workplace, and opportunities to learn from a diverse group of businesses and industries.
We are financially strong and proudly part of Constellation Software Inc. (CSI), the largest software company in Canada, providing long‑term stability alongside entrepreneurial autonomy. In addition to a competitive compensation and benefits package, we offer meaningful perks, flexibility, and—most importantly—a culture that values people, curiosity, and having fun while doing great work.
Follow us on LinkedIn to learn more about our culture, values, and career opportunities.
Equal Opportunity
Harris is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Applicants who require a reasonable accommodation due to a disability may contact us by email at HarrisTalentAcquisition@harriscomputer.com. Accommodation requests may be made at any time. This email address is dedicated solely to accommodation requests and cannot be used to inquire about application status.
EO 13496: Notification of Employee Rights under Federal Labor Laws
Our commitment to fair and equitable hiring. As part of our recruitment process, we use artificial intelligence (AI) tools during the initial screening phase to help identify candidates whose qualifications most closely align with the requirements of the role. This technology supports efficiency and consistency in the early stages, but it never replaces human judgement. All subsequent evaluations and final hiring decisions are made by our recruitment professionals. AI does not make final hiring decisions.